Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
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About

Instruction-following models such as GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have become increasingly powerful. Many users now interact with these models regularly and even use them for work. However, despite their widespread deployment, instruction-following models still have many deficiencies: they can generate false information, propagate social stereotypes, and produce toxic language. To make maximum progress on addressing these pressing problems, it is important for the academic community to engage. Unfortunately, doing research on instruction-following models in academia has been difficult, as there is no easily accessible model that comes close in capabilities to closed-source models such as OpenAI’s text-DaVinci-003. We are releasing our findings about an instruction-following language model, dubbed Alpaca, which is fine-tuned from Meta’s LLaMA 7B model.

About

LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations and researchers interested in a powerful Large Language Model

Audience

Researchers and anyone wanting a solution to generate and improve their AI-generated content

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Stanford Center for Research on Foundation Models (CRFM)
United States
crfm.stanford.edu/2023/03/13/alpaca.html

Company Information

LLaVA
llava-vl.github.io

Alternatives

Falcon-40B

Falcon-40B

Technology Innovation Institute (TII)

Alternatives

PaliGemma 2

PaliGemma 2

Google
LTM-1

LTM-1

Magic AI
Qwen3.5

Qwen3.5

Alibaba
MPT-7B

MPT-7B

MosaicML
Seed2.0 Lite

Seed2.0 Lite

ByteDance
Dolly

Dolly

Databricks
Falcon 2

Falcon 2

Technology Innovation Institute (TII)
Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)

Categories

Categories

Integrations

GPT-4
BERT
ChatGPT
Dolly
LLaMA-Factory
Llama
Ludwig
Stable LM

Integrations

GPT-4
BERT
ChatGPT
Dolly
LLaMA-Factory
Llama
Ludwig
Stable LM
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